What do consumers believe about future gasoline prices?

A full understanding of how gasoline prices affect consumer behavior frequently requires information on how consumers forecast future gasoline prices. We provide the first evidence on the nature of these forecasts by analyzing two decades of data on gasoline price expectations from the Michigan Survey of Consumers. We find that average consumer beliefs are typically indistinguishable from a no-change forecast, justifying an assumption commonly made in the literature on consumer valuation of energy efficiency. We also provide evidence on circumstances in which consumer forecasts are likely to deviate from no-change and on significant cross-consumer forecast heterogeneity.     

A ban on one is a boon for the other: Strict gasoline content rules and implicit ethanol blending mandates

Ethanol and methyl-tertiary butyl ether (MTBE) were close substitutes in the gasoline additives market until MTBE was banned due to the concerns about groundwater contamination, leading to a sudden and dramatic substitution toward ethanol as an alternative oxygenate and octane-booster. We use variation in the timing of MTBE bans across states to identify their effects on gasoline prices. We find that state bans increased reformulated gasoline prices by 3–6 cents in non-Midwestern states for which the bans were binding, with larger impacts during times of high ethanol prices relative to MTBE and crude oil. We find qualitatively similar, yet smaller effects for conventional gasoline. We argue on the basis of a simple conceptual model and supporting empirical evidence that these bans functioned as implicit ethanol blending mandates in areas that were previously using MTBE to comply with strict environmental constraints. Overall, our results are consistent with the theoretical prediction that mandating a minimum market share for a more costly alternative fuel—either directly, or implicitly through a ban on the preferred conventional fuel—will inevitably increase fuel prices in a competitive market.     

The impact of flooding on property prices: A repeat-sales approach

In this paper we use a repeat-sales model to analyse the price path of properties affected by flooding in England between 1995 and 2014. Our dataset contains information on 4.8 million houses with at least one repeat-sale. This database is merged with high-definition GIS data delineating the spatial extent of all recorded flood incidents in England covering a total area of 2,654 km². Our results show that immediately after a flood event the price of property in a postcode entirely inundated by inland flooding is on average 24.9% lower than non-flooded property, whereas for property in a postcode entirely inundated by coastal flooding the price reduction is 21.1%. Nonetheless, we find that this discount is short-lived and the discount is no longer statistically significant for properties affected by inland flooding after 5 years, which falls to just 4 years for properties affected by coastal flooding. For lower-priced properties however, the post-flood price discount can be observed up to 6–7 years for both inland and coastal flooding. The magnitude of the impact also depends on the characteristics of the properties, the characteristics of the flood and the existence of flood protection assets.     

Fuel consumption and gasoline prices: The role of assortative matching between households and automobiles

Analyses of policies to reduce gasoline consumption have focused on two effects, a compositional effect on the fuel economy of the automotive fleet and a utilization effect on how much people drive. However, the literature has missed a third effect: a matching effect, in which policies change how high-utilization households are matched to fuel-efficient vehicles in equilibrium. We show that higher gas prices should lead to stronger assortative matching. Empirical estimates using US micro-level data are consistent with this hypothesis. We find a $0.50 increase in the gas tax would reduce US gas consumption by 0.8% through the matching effect alone, bringing annual environmental benefits of about $1.7 billion.     

POTENTIAL WATER USE AND AGRICULTURAL PRODUCTION PATTERNS UNDER ALTERNATIVE WATER PRICES1

Out study deals with the demand for water and alternative agricultural production and land use patterns under varying prices for both surface and ground water. We derive irrigation water demands for both the United States and regions of it. Not only is a different amount of water used at each set of water prices but also a different mix of crops, livestock, and production technology develops among the different regions. Under the highest set of prices used, more than fourteen million acres are converted into dryland farming. Total irrigated water use decreases by more than 25 million acre-feet. Irrigated crop yields are reduced and cropping patterns shift away from irrigation. Commodity shadow prices increase as much as 15 percent under high prices for both surface and ground water. A redistribution of farm income occurs between irrigated and dryland regions.     

LINEAR PROGRAMMING USE FOR EVALUATING WATER RESOURCES AND COST AND BENEFIT ALLOCATION1

ABSTRACT A linear programming model for a river basin was developed to include almost all water-related economic activity both for consumers and producers. The model was so designated that the entire basin or basin sub-division could be analyzed. The model included seven sectors, nine objective function criteria, and three river-flow levels. Economic basis for conflicts among sectors over incidence of cost allocation and level of economic activity can be traced to some chosen objective. The disposal of untreated household waste water, particularly from the rural household, directly into the river was consistent with maximizing net benefits and minimizing costs. The optimum resource allocation, water-treatment plants, farms and industry activities would change with flow level. For each of the three industries analyzed separately, paper, wool and tanning, public treatment of industrial waste water was the optimal treatment process in one or more of the solutions. Lake shoreline was the dominant feature determining lake-resource valuation. Implied capital value varied from $126 per shoreline foot to over $250 depending on discount rate. Implied prices on lake surface ranged from $42 to $147 per acre. Strong economic forces encouraged small lot sizes for vacation cottages.     

Do energy prices influence investment in energy efficiency? Evidence from energy star appliances

I examine whether electricity prices influence the likelihood that consumers purchase high efficiency appliances by using state-year panel data on electricity prices and the proportion of sales of new appliances that involve high efficiency “Energy Star” models. I find no evidence that electricity prices affect the propensity for consumers to choose high efficiency appliances. Point estimates are extremely small and precisely estimated. The findings suggest that price-based energy policies may be limited in the extent to which they increase investment in residential energy efficiency, which has been considered one of the lowest cost opportunities for reducing carbon emissions.     

Incentives and prices in an emissions trading scheme with updating

Emissions trading schemes where allocations are based on updated baseline emissions give firms less incentive to reduce emissions for a given quota (or allowance) price. Nevertheless, according to Böhringer and Lange [On the design of optimal grandfathering schemes for emission allowances, Europ. Econ. Rev. 49 (2005) 2041–2055], such allocation schemes are cost-effective if the system is closed and allocation rules are identical across firms. In this paper, we show that the cost-effective solution may be infeasible if marginal abatement costs grow too fast. Moreover, if a price cap or banking/borrowing is introduced, the abatement profile is no longer the same as in the case with an auction (or lump-sum allocation). In addition, we show that with allocation based on updated emissions, the quota price will always exceed marginal abatement costs, possibly misguiding policy makers and investors about abatement costs. Numerical simulations indicate that the quota price most likely will be several times higher than marginal abatement costs, unless a significant share of allowances is auctioned.     

Incommensurability and property rights in the natural environment

Cost–benefit analysis has been criticised on the grounds that it cannot compute the value of environmental goods whose value constitutively defies monetary valuation. Two forms of incommensurability make monetary valuation problematic: constitutive incommensurability and quantitative incommensurability. These pose a threat only to shadow pricing, and not the formation of prices in an actual market. Where property rights to environmental goods are appropriately assigned, the prices that form reflect the actual uses persons put them to, given their value commitments. In a real market, the formation of prices does not depend upon the assignment of cardinal values via monetary valuation; rather, the formation of prices is a side effect of the way in which environmental goods are used. A property right gives one the right to reject terms of exchange one deems inappropriate. Where sale of an environmental good is deemed inappropriate, it is kept out of the cash nexus. Incommensurability therefore precludes cost–benefit analysis, but not markets in environmental goods where property rights are appropriately allocated.     

Is risk-sharing resource taxation in society's best interests if prices are log-normally distributed?

This paper contributes to our understanding of the perceived benefits for society of risk-sharing resource taxation. In the particular context of log-normally distributed prices a model is developed which enables comparison of risk-sharing resource taxation with an alternative in determining the overall return to society from auctioning an extraction lease. The main finding of the paper is a potential exception to the general preference for risk-sharing resource taxation if the bidding firms are effectively risk neutral. This exception is illustrated numerically in the context of the impact of increased price uncertainty, but it is shown not to be robust with respect to divergences from risk neutrality in the risk attitudes of firms. Consequently, it is concluded that the choice of risk-sharing resource taxation is likely to be in society's best interests, regardless of the probability distribution of prices.